Rosella BI Server Platform for Predictive Modeling and BI

Rosella BI Server is a web-based next-generation business intelligence developer platform. It provides end-to-end BI plus functions over the web using user-written html pages such as executive dashboards, pre-defined management reports, etc. Analytic features include charting and reporting with embedded predictive modeling and rule-based model evaluation (RME), and so on.

Predictive Model Deployment

The most important function of Rosella BI Server is to provide a predictive model deployment platform, such as deep learning models, neural networks, decision tree and regression models. Predictive models, developed using CMSR Data Miner, can be deployed to a large number of users over the web. Rosella BI Server is based on Java J2EE. It can be deployed on all major operating systems such as Windows, Linux, Mac OS X, Solaris, etc. The following figure is an example of a deep learning model input. User selects a model from the menu at the left. Then enter input values and press the "Predict" key. It's very simple to use!

predictive model deployment.

This input process can be automated by extracting data from databases. This feature is implemented with Java JSP programing. For JSP developers, this is very simple task. If you are interested in APIs for predictive modeling, please read the following document;

In addition, business applications can incorporate predictive models by calling BI server with JSON HTTP requests.

What is Knowledge-Embedded Predictive Reports?

Knowledge-Embedded Predictive Reports can improve business visibility harnessing business reports with predictive modeling and business logic using RME rule engines. For example, KPIs can analyze changes in business drivers and co-inference them automatically to detect hidden patterns underneath complex numbers. KPR's incorporate predictive modeling with rule-based expert systems into report writing and charting systems;

  • Predictive analytics can be used to detect patterns and trends in business drivers automatically from hidden numbers, and to predict future directions. It is known that leading predictive indicators are more useful than trailing indicators. Directions and projections can be very useful information to have.
  • Rule-based expert systems can be used to leverage complexity of various business drivers and indicators. As the surveys mentioned found, understanding too many drivers and complex numbers can be very daunting tasks for executives and business users. Expert systems based on business logic can take this task as an expert, making balanced scorecards more friendlier and easier to understand.
  • Business activity monitoring and Event processing provides a platform intelligent business operations, detecting complex business events and taking proactive measure automatically.
  • Web-based reporting & charting engines are essential in generating business reports in a timely real-time fashion so that executives and business users can recognize developing situation in real-time.

Incorporation of predictive analytics and rule-based expert systems into business reports provides a number of advantages. It will make business reports much easier to comprehend potential problems and successes. Trends developing can be detected early so that actions can be followed as early as possible. Complexity in interpreting KPIs is removed in real-time by embedded knowledge of business experts.

web embedded credit risk dashbords.

Rapid development of predefined analytic reports

BI server provides an advanced platform for BI reporting and analytics. Typical BI applications consist of hundreds of simple and complex reports or dashboards that may contain complex charts with predictive statistics. Developing such systems can require huge manpower and time. BI server platform provides an advanced platform on which complex applications can be developed and deployed very rapidly, resulting not only significant cost reduction but also with sophisticated analytics!

What is Web-based Business Intelligence (BI)?

Conventional Business Intelligence (BI) software systems are in general single-user stand-alone desktop programs or they require such client programs to be installed on each user's computers. Furthermore, the types of reports and dashboards are largely pre-determined by system's design. There are very little rooms to customize according to user's requirements. Web-based OLAP, on the other hand, uses web technology to deliver analytic information to multiple users simultaneously, overcoming the limitations of conventional BI systems. Data is centrally stored on database systems and processed dynamically when user visits web pages containing analytic information. Analytic information is embedded into html pages, specially written for the needs of special users, such as executives, managers, analysts, specialists, and so on.

Data Visualization Charts

Rosella Analytic BI Platform produces high-quality graphics and reports that can be used in executive dashboards analytic reports.

olap database chart - bar olap database chart - bar